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Record W4281704158 · doi:10.5770/cgj.25.548

Community and Provider Evaluation of a Canadian Dementia Support Services Program

2022· article· en· W4281704158 on OpenAlexafffundvenueabout
Mallorie T. Tam, Jill A. Dosso, Julie M. Robillard

Bibliographic record

VenueCanadian Geriatrics Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsB.C. Women's Hospital & Health CentreBC Children's HospitalChildren's & Women's Health Centre of British ColumbiaUniversity of British Columbia
FundersAlzheimer Society of B.C.Alzheimer Society
KeywordsDementiaMedicineNursingMental healthGerontologyHealth carePsychiatryDisease

Abstract

fetched live from OpenAlex

BackgroundCommunity programs and services dedicated to support those living with dementia and care partners can improve their qual-ity of life. In close collaboration with the Alzheimer Society of British Columbia, we evaluated the First Link® dementia support services, aiming to identify key strengths and areas of improvements to inform the services offered. MethodsA survey instrument was developed and distributed to people living with dementia, care partners, and health-care providers. ResultsA total of 1,123 surveys were analyzed. Overall, respondents were satisfied with First Link dementia support services. Key strengths of the program included providing information and education for their clients to learn more about dementia and other resources in the community. Areas for improvement that were identified as part of this evaluation included additional supports for participants’ mental health and well-being in terms of reducing stress, burden and isolation. Findings uncov-ered discrepancies in the way people living with dementia, care partners, and health-care providers view the effectiveness of the First Link dementia support services. Conclusion An evaluation of programs and services for people living with dementia and their care partners can provide valuable insights about their experiences which can ensure that their needs are addressed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.329
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2022
Admission routes4
Has abstractyes

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